Neugebauer, U.U.NeugebauerKurz, C.C.KurzBocklitz, T.T.BocklitzBerger, T.T.BergerVelten, T.T.VeltenClement, J.H.J.H.ClementKrafft, C.C.KrafftPopp, J.J.Popp2022-03-042022-03-042014https://publica.fraunhofer.de/handle/publica/23654910.3390/mi5020204Circulating tumor cells (CTCs) from blood of cancer patients are valuable prognostic markers and enable monitoring responses to therapy. The extremely low number of CTCs makes their isolation and characterization a major technological challenge. For label-free cell identification a novel combination of Raman spectroscopy with a microhole array platform is described that is expected to support high-throughput and multiplex analyses. Raman spectra were registered from regularly arranged cells on the chip with low background noise from the silicon nitride chip membrane. A classification model was trained to distinguish leukocytes from myeloblasts (OCI-AML3) and breast cancer cells (MCF-7 and BT-20). The model was validated by Raman spectra of a mixed cell population. The high spectral quality, low destructivity and high classification accuracy suggests that this approach is promising for Raman activated cell sorting.en620journal article